Data Structures and Algorithms with Python

This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring m...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Lee, Kent D. (Συγγραφέας), Hubbard, Steve (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Undergraduate Topics in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1: Python Programming 101
  • 2: Computational Complexity
  • 3: Recursion
  • Sequences
  • 4: Sets and Maps
  • 5: Trees
  • 6: Graphs
  • 7: Membership Structures
  • 8: Heaps
  • 9: Balanced Binary Search Trees
  • 10: B-Trees
  • 11: Heuristic Search
  • Appendix A: Integer Operators
  • Appendix B: Float Operators
  • Appendix C: String Operators and Methods
  • Appendix D: List Operators and Methods
  • Appendix E: Dictionary Operators and Methods
  • Appendix F: Turtle Methods
  • Appendix G: TurtleScreen Methods
  • Appendix H: Complete Programs.